公开(公告)号：US20240372638A1

公开(公告)日：2024-11-07

申请号：US18681777

申请日：2023-04-07

Applicant: SOUTHEAST UNIVERSITY

Inventor： Chengxiang WANG ,  Runruo YANG ,  Jie HUANG

IPC: H04B17/391 ,  G01S7/00 ,  G01S13/86

Abstract: Disclosed is a novel integrated sensing and communication channel modeling method combining forward scattering and backward scattering. The method includes the following steps: setting application scenarios and antenna parameters; estimating channel state information through a mono-static sensing means, and determining positions of a communication terminal and positions and motion information of scatterers that are backward scattered in environment; dividing non-line-of-sight paths of the communication channel into forward scattering paths and backward scattering paths based on whether the scatterers can be sensed by a sensing channel, generating forward scattering paths by adopting a geometric random modeling method and generating the backward scattering paths by adopting a geometric modeling method based on obtained sensing information parameters; weighted-summing the line-of-sight, the forward scattering paths, and the backward scattering paths according to probabilities to obtain a complete communication channel impulse response. The present disclosure proposes a relatively comprehensive integrated sensing and communication channel modeling method for the first time, and the simulation results of the channel model are in good agreement with measurement data and have high accuracy.

公开(公告)号：US20240340097A1

公开(公告)日：2024-10-10

申请号：US18681820

申请日：2023-04-11

Applicant: Southeast University

Inventor： Chengxiang WANG ,  Jun WANG

IPC: H04B17/391

CPC classification number: H04B17/391

Abstract: Disclosed in the present disclosure is an uplink and downlink asymmetric channel model parameter generating method. According to a modeling method, uplink and downlink channel transmission matrices can be generated at the same time when an asymmetric transceiving antenna configuration is used in an uplink and a downlink. In the method, firstly, parameters of a propagation channel between antennas are generated by using a geometric stochastic modeling method according to environmental parameters. Then an antenna pattern is introduced to calculate effective scatterers and corresponding effective paths of the uplink and the downlink. Finally, channel impulse responses of the uplink and the downlink are obtained. The method can be applied to the simulation and optimization of actual asymmetric communication systems.

公开(公告)号：US20250080258A1

公开(公告)日：2025-03-06

申请号：US18819202

申请日：2024-08-29

Applicant: Southeast University ,  PURPLE MOUNTAIN LABORATORIES

Inventor： Chengxiang WANG ,  Xingyu JI ,  Hengtai CHANG

IPC: H04B17/391 ,  H04B17/336

Abstract: The present disclosure discloses a geometry-based stochastic channel modeling method oriented to a wireless communication in an underground mine. The geometry-based stochastic channel modeling method generates basic parameters such as an environment and antennas; generates a three-dimensional time-varying twin-cluster channel environment, that is, a number, a distance and an angle distribution of the clusters, and the like; derives channel parameters such as a position distribution of scatterers, and a power distribution of the scatterers in the clusters; introduces a roughness of a wall and characterizes an influence caused by the rough wall from two aspects of a phase variation and an energy attenuation according to angle parameters, calculates a time-varying channel impulse response and a channel matrix, and implements a simulation channel model and analyzes a statistical characteristic of a channel. The present disclosure adopts a geometry-based stochastic channel modeling method to establish an underground mine channel model, which considers a unique channel characteristic of the rough wall and has a relatively high accuracy, a moderate complexity, and a better universality, and the statistical characteristic of the simulation has a reference value for the design for the communication system in the underground mine.

公开(公告)号：US20250080257A1

公开(公告)日：2025-03-06

申请号：US18814842

申请日：2024-08-26

Applicant: Southeast University ,  PURPLE MOUNTAIN LABORATORIES

Inventor： Chengxiang WANG ,  Yuxiao LI ,  Li ZHANG ,  Songjiang YANG ,  Yinghua WANG ,  Jie HUANG

IPC: H04B17/391 ,  H04B7/0452

Abstract: Disclosed by the present disclosure is a geometry-based stochastic channel modeling method for an IIoT channel. The method includes the following steps: S1, setting a propagation scenario, propagation conditions, model parameters, an antenna configuration, and the like, S2, generating large-scale parameters with a spatial consistency; S3, determining a number of initial clusters, a number of specular multipath components generated in each of clusters and a number of dense multipath components generated in each of the clusters, determining a visibility of an array antenna to the clusters, generating an initial delay of the clusters, an angle of the clusters, and a power of the clusters, and generating channel coefficients between each pair of transmitter antennas and receiver antennas; S4, updating the positions of the transmitters and the positions of the receivers as well as values for the large-scale parameters according to the motion trajectories of the transmitters and the motion trajectories of the receivers; S5, applying a birth and death process of the clusters to initialize new clusters and update angles, delays and powers of surviving clusters, and generating the channel coefficients; and S6, returning to Step S4, until traversing motion trajectories of the transmitters and the motion trajectories of the receivers; calculating statistical characteristics of the channel, and verifying channel model according to actual measurement data. For the first time, the present disclosure considers 6G channel modeling requirements and dense multipath characteristics, and are verified through actual measurements, which is of great significance for the standardization of IIoT channel models.

公开(公告)号：US20240340098A1

公开(公告)日：2024-10-10

申请号：US18681770

申请日：2023-04-12

Applicant: Southeast University

Inventor： Chengxiang WANG ,  Yue YANG ,  Yi ZHENG ,  Jie HUANG

IPC: H04B17/391 ,  H04B7/0413

CPC classification number: H04B17/3912 ,  H04B7/0413

Abstract: A method for calculating the spatial non-stationary wireless channel capacity for large-scale antenna array communications, includes the following steps: first, constructing a spatial non-stationary channel model with a large-scale antenna array having the mutual coupling effect; building a channel measurement system for the large-scale antenna array, and obtaining measurement data; next, optimizing parameters of the channel model, and simulating the spatial cross-correlation function, then calculating the spatial stationary interval and calculating the channel capacity within the interval and the total channel capacity; and finally comparing simulation results with measurement results, to verify the correctness of the calculation method. The method for calculating the channel capacity of a spatial non-stationary large-scale antenna array provided in the present invention can be effectively applied to a channel having non-stationary characteristics, thereby solving the limitation of Shannon channel capacity formula calculation.

公开(公告)号：US20240297724A1

公开(公告)日：2024-09-05

申请号：US18696233

申请日：2023-03-19

Applicant: Southeast University ,  PURPLE MOUNTAIN LABORATORIES

Inventor： Chengxiang WANG ,  Zhen LV

IPC: H04B17/391

CPC classification number: H04B17/3911

Abstract: A 6G pervasive channel modeling method includes the following steps: S1, setting a propagation scenario and a propagation condition, and determining a carrier frequency, an antenna type, a layout of a transmitting end and a receiving end, and the like; S2, generating large-scale fadings such as path loss, shadowing and blocking effect loss; S3, generating large-scale parameters having spatial consistency; S4, generating scatterer positions in ellipsoid Gaussian scattering distribution, and calculating a delay, an angle and a power of a cluster according to the positions of the transmitting end, the receiving end and the scatterers to generate a channel coefficient, and S5, on the basis of movements of the transmitting end and the receiving end and a birth-death process of each cluster, updating the large scale parameters and small-scale parameters, and generating a new channel coefficient.